Note: The job is a remote job and is open to candidates in USA. Solace is a healthcare technology company helping patients navigate the U.S. healthcare system through expert advocacy and supportive tools. The Data Engineer will build and scale the company’s data platform, developing reliable pipelines, infrastructure, data models, and APIs that support data-driven decisions.
Responsibilities
- Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake. You will replace brittle manual processes with resilient, automated workflows
- Build Infrastructure as Code: Manage and evolve our cloud infrastructure (AWS/GCP) using Terraform, ensuring our platform is reproducible, secure, and scalable
- Elevate Code Quality: Write clean, production-grade code for complex data processing. You will champion engineering best practices, including code reviews, testing, and CI/CD
- Optimize Data Models: Collaborate with analysts to design performant SQL transformations and data models in Snowflake (experience with dbt is a huge plus)
- Ensure Data Reliability: Implement observability and monitoring to catch issues before they impact stakeholders. You are the first line of defense for data quality
- Partner Cross-Functionally: Work closely with Data Analysts and Product Managers to understand their data needs and deliver high-quality data products that empower decision-making
- Own Our Data API: We run a data API built on FastAPI that drives data-driven decisions within the application. You'll help own it and everything that comes with it, including endpoint design, performance, deployment, monitoring, and reliability for the product teams that depend on it
Skills
- Strong Python Proficiency: You are comfortable writing modular, testable, and efficient Python code for data processing and automation
- Advanced SQL & Snowflake: You have deep expertise in SQL and cloud data warehousing (Snowflake preferred), understanding how to optimize queries for performance and cost
- Orchestration Mastery: Proven experience building and maintaining complex workflows using Airflow (or similar tools)
- Infrastructure Mindset: Familiarity with Terraform and cloud services (AWS or GCP). You understand how to provision and manage the resources your pipelines run on
- Security & Stewardship: You understand the gravity of handling sensitive medical data. You are experienced in properly handling PHI and PII, implementing secure access controls (RBAC), and adhering to strict governance standards
- Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done
- Communication Skills: You can translate complex technical challenges into clear options for non-technical stakeholders
- Applicants must be based in the United States
- Snowflake preferred
- Dbt is a huge plus
- Dbt Expertise: Experience using dbt to manage transformations and implement testing/documentation standards
- Healthcare Background: Experience working with healthcare data standards or strictly regulated environments (HIPAA) a plus
- Containerization: Experience with Docker and Kubernetes for deploying data applications
- Backend Development & MLOps: Exposure to building backend services or APIs (e.g., FastAPI, Flask), or to MLOps practices such as model deployment, versioning, and monitoring
Company Overview
Company H1B Sponsorship